Become the next generation in energy jobs by taking the comprehensive and hands-on course "Applied Machine Learning for Geoscientist."
Course Description
This course teaches you the most up-to-date geoscience methods & their application in energy industry through comprehensive learning & Hands-on Project. This course will help you understand the basics of Machine Learning and the technical side of Machine Learning and Geoscience, including python programming. No previous experience with these subjects is needed. This course will be delivered in Bahasa.
What you will learn?
- Basic concept of machine learning
- Application of machine learning including in energy industry
- Workflow of applied machine learning in geoscience cases
- Python programming for geoscience cases
Who this course is for?
Students and professionals who have beginner to intermediate levels in applying Machine Learning to geoscience field.
Resume / Benefit
3,5 hours on-demand video
Programming tutorial using Python (Geoscience study case)
Free consultation
Downloadable article resource
Sample data
Self evaluation (Exam)
Certificate of completion
3 months access
Applied Machine Learning for Geoscientist
Hello, fellow learners!
Welcome to Applied Machine Learning for Geoscientist on JIWA Learning! We are thrilled to have you join our online learning community. In this course, you will find carefully curated content designed to equip you with the skills, insights, and expertise you need to excel in your chosen field.
Nowadays, most geoscience disciplines have also applied Machine Learning to various needs, such as seismic interpretation, well data prediction, geohazard analysis, Mineral Geochemistry, and other geological processes. Wondering about the specific steps and techniques involved? Discover the answers exclusively in this course
Course Access Reminder: Use a Laptop or PC
For the best experience, we recommend using a laptop or desktop computer to access this course. Here's why:
- Larger Screens: Use a computer for better viewing.
- Smooth Interaction: Quizzes and assignments work best on a computer.
- Efficiency: It's easier for assignments and using course materials.
📣 Take a minute to set yourself up for success!
As you prepare to start this engaging course, we extend an invitation for you to complete a commitment statement.
By completing the commitment statement, you are making a commitment to yourself and setting the foundation for a successful learning journey. It will serve as a reminder of your goals, motivations, and the actions you plan to take throughout the course.
🌟 Join Our Course Community on Telegram!
Ready to take your learning experience to the next level? Join our exciting Telegram community and meet your course peers in a vibrant and engaging space. Say hello to fellow learners who are on the same course journey. Meet new friends, share experiences, and build a supportive network through discussion.
Come, let's learn, grow, and have fun together.
Here are our course overview video recommendations:
- Course Introduction JIWA Learning x Mordekhai: Applied Machine Learning for Geoscientist Click Here
- Bongkar Karir Data Scientist di Industri Energi bersama Mordekhai: Bedanya dengan Industri Lain? Click Here
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Mordekhai
Data Science Practitioner
About Instructor
Mordekhai is a Professional Data Scientist with Geophysical Engineering academic background. More than 5 years dealing with data-driven & physics-driven computation in various disciplines (Oil and Gas, Mining, Geohazard). He has many publications, and some of them are indexed by Scopus. He holds bachelor and master degree from Institut Teknologi Bandung with Fast Track Scholarship.
Experience
6 years of experience as a Geophysicist, Catastrophe Analyst, and Data Scientist in Energy Industry
Expertise
Data Science for Exploration & Production Workflow
Publication
- Wicaksono, Muhammad & Mordekhai, Mordekhai & Parnadi, Wahyudi & Chandra, Muhammad. (2021). Ground Penetrating Radar for Nickel Laterite Exploration: A Case Study in Pakal Island, Indonesia.
- Mordekhai, Mordekhai & Anggoro, Faisal & Putra, Iqbal & Yeftamikha. (2019). Geoscience and earthquake insurance relation: a methodology to calculate premium based on density map of earthquake occurrence in.
- Mordekhai, Mordekhai & Wasiah, Nadiyatur. (2021). The Comparison between Empirical and Data-driven Computation in Predicting CO and NOx Emissions from Gas-Turbine-Based Power Plant.
- Gustandika, Praviandy & Qudsi, Izzul & Mordekhai, Mordekhai & Guntoro, John & Trichandi, Rahmantara & Kurniawan, Indra & Noviardi, Muhamad. (2021). Wellcast by GeoVartha